Dávid Lakatos

9 total papers · 613 total citations
7 papers, 407 citations indexed

About

Dávid Lakatos is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Dávid Lakatos has authored 7 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Human-Computer Interaction, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Dávid Lakatos's work include Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (4 papers) and Augmented Reality Applications (3 papers). Dávid Lakatos is often cited by papers focused on Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (4 papers) and Augmented Reality Applications (3 papers). Dávid Lakatos collaborates with scholars based in United States and Sweden. Dávid Lakatos's co-authors include Hiroshi Ishii, Jean‐Baptiste Labrune, Leonardo Bonanni, Daniel Leithinger, Hiroshi Ishii, Alex Olwal, Ken Perlin, Michael S. Bernstein, Lining Yao and Xiao Xiao and has published in prestigious journals such as interactions and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Dávid Lakatos

7 papers receiving 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dávid Lakatos 349 183 129 118 43 7 407
Jean‐Baptiste Labrune 318 0.9× 154 0.8× 98 0.8× 83 0.7× 34 0.8× 10 382
Greg Saul 229 0.7× 102 0.6× 131 1.0× 65 0.6× 29 0.7× 14 381
Christian Weichel 430 1.2× 156 0.9× 223 1.7× 84 0.7× 17 0.4× 13 491
César Torres 308 0.9× 89 0.5× 89 0.7× 94 0.8× 37 0.9× 29 421
Mohammadreza Khalilbeigi 411 1.2× 269 1.5× 200 1.6× 50 0.4× 49 1.1× 24 483
Luv Kohli 392 1.1× 320 1.7× 68 0.5× 163 1.4× 14 0.3× 13 456
Dan Maynes-Aminzade 293 0.8× 161 0.9× 207 1.6× 58 0.5× 12 0.3× 10 433
Gian Pangaro 358 1.0× 214 1.2× 199 1.5× 75 0.6× 7 0.2× 7 402
Joanna Berzowska 310 0.9× 124 0.7× 60 0.5× 90 0.8× 108 2.5× 24 460
Rose Johnson 280 0.8× 150 0.8× 144 1.1× 32 0.3× 47 1.1× 15 492

Countries citing papers authored by Dávid Lakatos

Since Specialization
Citations

This map shows the geographic impact of Dávid Lakatos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dávid Lakatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Lakatos more than expected).

Fields of papers citing papers by Dávid Lakatos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dávid Lakatos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dávid Lakatos. The network helps show where Dávid Lakatos may publish in the future.

Co-authorship network of co-authors of Dávid Lakatos

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Lakatos. A scholar is included among the top collaborators of Dávid Lakatos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dávid Lakatos. Dávid Lakatos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026